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A Techno-Economic-Environmental Feasibility Study of Residential Solar Photovoltaic/Biomass Power Generation for Rural Electrification: A Real Case Study

Author

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  • Rasha Kassem

    (Electrical Department, Faculty of Technology and Education, Sohag University, Sohag 82524, Egypt)

  • Mohamed Metwally Mahmoud

    (Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt)

  • Nagwa F. Ibrahim

    (Electrical Department, Faculty of Technology and Education, Suez University, P.O. Box 43221, Suez 43533, Egypt)

  • Abdulaziz Alkuhayli

    (Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia)

  • Usama Khaled

    (Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt)

  • Abderrahmane Beroual

    (AMPERE Lab UMR CNRS 5005, Ecole Centrale de Lyon, University of Lyon, 36 Avenue Guy de Collongue, 69130 Ecully, France)

  • Hedra Saleeb

    (Electrical Department, Faculty of Technology and Education, Sohag University, Sohag 82524, Egypt)

Abstract

To avert climate change, there has been a rise in the usage of green energy sources that are also beneficial to the environment. To generate sustainable energy in a financially and technically efficient manner, our research attempts to close the gaps. The potential of green sources like photovoltaic (PV) and biomass for a rural community southwest of Sohag Al Gadida City, Sohag, Egypt, is examined in this research considering its techno-economic (TE) and eco-friendly feasibility. The HOMER Pro v3.14 package is used as a scaling and optimization instrument, to calculate the price of the PV/biomass setup and the size and characteristics of its parts. This is to estimate the corresponding electrical production and reduce the total annual cost for the customer. The suggested system structure is validated through the presentation of simulation outcomes and evaluations utilizing MATLAB/SIMULINK R2022a. In addition, a TE-environmental investigation of the optimized PV/biomass structure is performed. The optimum structure is carefully chosen from the best four configurations using the demand predilection by analogy to the perfect technique based on the generation cost, operation cost, energy production, and renewable fraction. The results also indicate that using hybrid PV/biomass is an attractive choice with the initial capital cost (ICC: USD 8.144), net present cost (NPC: USD 11,026), a low cost of energy (LCOE: 0.184 USD/kWh), and the high renewable fraction (RF: 99.9%) of the system. The annual CO 2 emission performance of a PV/biomass system is much better than that of the grid alone and PV/diesel. This method might be applied in rural areas in other developing countries.

Suggested Citation

  • Rasha Kassem & Mohamed Metwally Mahmoud & Nagwa F. Ibrahim & Abdulaziz Alkuhayli & Usama Khaled & Abderrahmane Beroual & Hedra Saleeb, 2024. "A Techno-Economic-Environmental Feasibility Study of Residential Solar Photovoltaic/Biomass Power Generation for Rural Electrification: A Real Case Study," Sustainability, MDPI, vol. 16(5), pages 1-24, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:2036-:d:1349063
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    References listed on IDEAS

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    1. Zayed, Mohamed E. & Zhao, Jun & Li, Wenjia & Elsheikh, Ammar H. & Elaziz, Mohamed Abd, 2021. "A hybrid adaptive neuro-fuzzy inference system integrated with equilibrium optimizer algorithm for predicting the energetic performance of solar dish collector," Energy, Elsevier, vol. 235(C).
    2. Li, Jinze & Liu, Pei & Li, Zheng, 2020. "Optimal design and techno-economic analysis of a solar-wind-biomass off-grid hybrid power system for remote rural electrification: A case study of west China," Energy, Elsevier, vol. 208(C).
    3. Chunqiong Miao & Kailiang Teng & Yaodong Wang & Long Jiang, 2020. "Technoeconomic Analysis on a Hybrid Power System for the UK Household Using Renewable Energy: A Case Study," Energies, MDPI, vol. 13(12), pages 1-19, June.
    4. Omar Makram Kamel & Ahmed A. Zaki Diab & Mohamed Metwally Mahmoud & Ameena Saad Al-Sumaiti & Hamdy M. Sultan, 2023. "Performance Enhancement of an Islanded Microgrid with the Support of Electrical Vehicle and STATCOM Systems," Energies, MDPI, vol. 16(4), pages 1-19, February.
    5. Al Afif, Rafat & Ayed, Yasmine & Maaitah, Omer Nawaf, 2023. "Feasibility and optimal sizing analysis of hybrid renewable energy systems: A case study of Al-Karak, Jordan," Renewable Energy, Elsevier, vol. 204(C), pages 229-249.
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    Cited by:

    1. Aktas, Ilter Sahin, 2024. "Techno-economic feasibility analysis and optimisation of on/off-grid wind-biogas-CHP hybrid energy system for the electrification of university campus: A case study," Renewable Energy, Elsevier, vol. 237(PC).
    2. Ahmed Abouaiana & Alessandra Battisti, 2025. "Towards Clean Energy Transition: An Exploratory Case Study from Rural Egypt," Sustainability, MDPI, vol. 17(4), pages 1-39, February.
    3. Hedra Saleeb & Ali M. El-Rifaie & Ahmed A. F. Youssef & Shazly A. Mohamed & Rasha Kassem, 2025. "Providing Solutions to Decarbonize Energy-Intensive Industries for a Sustainable Future in Egypt by 2050," Sustainability, MDPI, vol. 17(6), pages 1-18, March.

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